Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/289099 
Erscheinungsjahr: 
2022
Quellenangabe: 
[Journal:] Cogent Business & Management [ISSN:] 2331-1975 [Volume:] 9 [Issue:] 1 [Article No.:] 2105038 [Year:] 2022 [Pages:] 1-11
Verlag: 
Taylor & Francis, Abingdon
Zusammenfassung: 
Academic staff turnover intention is one of the problems facing different universities in Ethiopia. This problem has also become a serious one at Debre Berhan University. Thus, this study aimed to investigate the influence of demographic factors and job satisfaction variables on the academic staff turnover intention at Debre Berhan University. For this purpose, both descriptive and explanatory research designs were employed. The research followed a quantitative research approach. The study used primary data. The data was obtained from 265 academic staff selected from nine colleges using both stratified sampling and simple random sampling techniques. A binary logistic regression model was used to examine the influence of demographic factors and job satisfaction variables. Accordingly, it is found that pay and benefits, working environment, and ethnicity were found to be the significant factors that affect academic staff turnover intention. This study suggests that the management of the university and the Ministry of Education, in order to increase the staff's salary based on the current labor market, develop different benefits packages such as building them residence houses, providing health insurance and facilitating credit services for different purposes by collaborating with banks and other financial institutions. Besides, the government should ensure political stability by minimizing ethnic-led conflict by avoiding ethnic-based federalism.
Schlagwörter: 
academic staff
binary logistics
Debre Berhan University
turnover intention
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by Logo
Dokumentart: 
Article

Datei(en):
Datei
Größe





Publikationen in EconStor sind urheberrechtlich geschützt.